C++ Quality Assurance Lead (QAL)

Job Summary

As a C++ Quality Assurance Lead (QAL), you will oversee quality, consistency, and contributor performance across C++ AI training projects.

This role involves reviewing AI-generated C++ code, evaluating trainer and QA outputs, maintaining quality standards, and ensuring training data aligns with project requirements and client expectations.

Your work will directly contribute to improving advanced AI systems by ensuring C++ training content is accurate, compilable, efficient, memory-safe, and clearly explained.

Key Responsibilities

Quality Monitoring

• Spot-check C++ training tasks and QA outputs
• Identify recurring quality issues and performance gaps
• Provide actionable written feedback and escalate critical concerns

Code Review

• Review and evaluate:

  • C++ applications
  • Algorithm implementations
  • Debugging responses
  • Unit tests
  • Performance recommendations
  • Technical explanations

• Assess work for:

  • Compile-time validity
  • Runtime correctness
  • Memory safety
  • Algorithmic efficiency
  • Performance
  • Readability
  • Maintainability

Trainer & QA Communication

• Communicate updates regarding:
  • Guidelines
  • Workflow changes
  • C++ review standards
  • Quality expectations

Contributor Support

• Answer questions involving:
  • Memory management
  • Templates
  • STL usage
  • Concurrency
  • Compilation issues
  • Complexity analysis
  • Testing
  • Rubric interpretation

Activation Management

• Follow up with inactive contributors
• Track engagement and participation
• Report contributor availability concerns

Documentation & Onboarding

• Create and maintain:

  • Style guides
  • Documentation
  • FAQs
  • Examples
  • Calibration tasks
  • Onboarding materials

• Conduct onboarding and training sessions for contributors

Risk & Quality Review

• Identify and flag:
  • Undefined behavior
  • Memory leaks
  • Dangling references
  • Race conditions
  • Non-compilable code
  • Inefficient algorithms
  • Hallucinated APIs
  • Misleading implementation guidance

Process Improvement

• Improve QA workflows and review processes
• Identify recurring quality gaps and implement corrective actions

Required Qualifications

• Bachelor's or Master's degree in:
  • Computer Science
  • Software Engineering
  • Computer Engineering

or equivalent professional experience.

• Strong English communication skills

• Minimum 3 years of experience in:

  • C++ development
  • Systems programming
  • Backend engineering
  • Performance engineering
  • Embedded software
  • Code review
  • QA
  • Technical mentoring

• Strong understanding of:

  • Modern C++ standards
  • RAII
  • Smart pointers
  • Templates
  • STL containers and algorithms
  • Object lifetime
  • Move semantics
  • Concurrency
  • Exceptions
  • Memory management
  • Build systems

• Ability to identify:

  • Undefined behavior
  • Memory leaks
  • Race conditions
  • Inefficient algorithms
  • Non-compilable code
  • Hallucinated APIs

Preferred Qualifications

• Experience with:

  • CMake
  • GCC
  • Clang
  • MSVC
  • GDB
  • LLDB
  • Valgrind
  • GoogleTest
  • Catch2
  • Boost

• Familiarity with:

  • Static analysis tools
  • Profiling tools
  • CI/CD systems
  • GitHub workflows

• Experience leading:

  • Engineers
  • Trainers
  • Reviewers
  • QA teams
  • Remote contributors

• Experience with:

  • AI training
  • Data annotation
  • LLM evaluation
  • Rubric-based code review

Why Join

• Help improve leading AI systems through technical quality assurance
• Flexible remote schedule
• Weekly payments
• Referral rewards and community incentives
• Access to future opportunities through SME Careers' expert network

Selection Process

1. AI Interview
2. Domain-Specific Assessment
3. Recruiter Interview

Important Note

There is currently no active project for this role. Qualified candidates will be added to the expert network and contacted when relevant opportunities become available.